11 - Potential proposal to improve data transmission in healthcare systems

Abstract

E-healthcare systems and their derivatives are increasingly considered for research, development, and deployment targets in developed countries. In such cases, it is indispensable to develop highly efficient data transmission methods. However, patients from less-favored countries face long waiting periods for scheduling and medical care. Much of this delay is due to the lack of innovation and technology in the bureaucratic sectors of the medical field. Based on this, the present study aims to implement a discrete event simulation (DES)-based model. This model is called coding of bits for entities by means of discrete events (CBEDE) and aims to assist the health systems of less-favored countries by categorizing a broad spectrum of health-related topics, as well as improving transmission of medical data through e-healthcare devices. Two models of systems were developed in the Matlab® Simulink environment, where data were analyzed through simulations with the CBEDE methodology with the advanced modulation differential quadrature phase shift keying (DQPSK) format and traditional methodology (without discrete events) in relation to information consumption data in megabytes (MB). The model, without the proposal and with discrete events, consumed 247.7 MB; in contrast, the model with the proposal had 114.16 MB of consumption. There was also a better computational performance (reaching up to 116.97%) related to the use of information compression memory. Therefore, the CBEDE methodology presents great potential for the transmission of medical data, allowing faster and more efficient scheduling of consultations or by transmission devices monitoring data from patients with chronic and/or elderly diseases.